In the context of a canonical agency model, we study the payoff implications of introducing optimally structured incentives. We do so from the perspective of an analyst who does not know the agent's preferences for responding to incentives, but does know that the principal knows them. We...

This paper investigates the optimal design of incentives when agents distort probabilities. We show that the type of probability distortion displayed by the agent and its degree determine whether an incentivecompatible contract can be implemented, the strength of the incentives included in the...

The procurement of an innovation involves motivating a research effort to generate a new idea and then implementing that idea efficiently. If research efforts are unverifiable and implementation costs are private information, a trade-off arises between the two objectives. The optimal mechanism...

The procurement of complex projects is often plagued by large cost overruns. One important reason for these additional costs are flaws in the initial design. If the project is procured with a price-only auction, sellers who spotted some of the flaws have no incentive to reveal them early. Each...

We examine the design of incentive-compatible screening mechanisms for dynamic environments in which the agents' types follow a (possibly non-Markov) stochastic process, decisions may be made over time and may affect the type process, and payoffs need not be time-separable. We derive a formula...

The marginal cost of effort often increases as effort is exerted. In a dynamic moral hazard setting, dynamically increasing costs create information asymmetry. This paper characterizes the optimal contract and helps explain the popular yet thus far puzzling use of non-linear incentives, for...

We study optimal incentive contracts with multiple agents when performance is evaluated by a reviewer. The reviewer may be biased in favor of the agents, but the degree of bias is unknown to the principal. We show that a contest, which is a contract in which the principal fixes a set of prizes...

We modelize and investigate the analytical rationale of employing bilateral mechanism design, which simplifies collective mechanism design by ignoring relative information evaluation, in generalized multi-agency contracting games under Bayesian Nash equilibrium. We permit interdependent...

We examine the design of incentive-compatible screening mechanisms for dynamic environments in which the agents' types follow a (possibly non-Markov) stochastic process, decisions may be made over time and may affect the type process, and payoffs need not be time-separable. We derive a formula...

We consider a mechanism design setting in which agents can acquire costly information on their preferences as well as others'. The choice of the mechanism generates informational incentives as it affects what information is acquired before play begins. A mechanism is informationally simple if...